Lingjun Pu

1.4k citations
45 papers · 1.1k · 1 hit paper · h-index 13

Impact in

Papers in

Lingjun Pu

42 papers receiving 1.1k citations

Lingjun Pu's Hit Papers

D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration 2016 · 319 citations
3190+3+6Years since publication100200300

Peers

Lingjun Pu
Comparison fields: 5 of 52
  • Computer Networks and Communications 849
  • Computer Science Applications 199
  • Transportation 69
  • Information Systems 236
  • Computer Vision and Pattern Recognition 175
Replace Jingdong Xu with:
Jingdong Xu China
Moo-Ryong Ra United States
Yuben Qu China
Wei Shu United States
Xu Zheng China
Minghui Liwang China
Jianchao Zheng China
Yan Kyaw Tun South Korea
Long Cheng United States
Xuebin Ren China
Lingjun Pu relative to Jingdong Xu China Jingdong Xu's profile →
Citations per field
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Jingdong Xu · 1×
Citations per year

Countries citing papers authored by Lingjun Pu

Since Specialization
Citations

This map shows the geographic impact of Lingjun Pu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lingjun Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjun Pu more than expected).

Fields of papers citing papers by Lingjun Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingjun Pu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lingjun Pu. The network helps show where Lingjun Pu may publish in the future.

Co-authors

The 25 scholars most cited alongside Lingjun Pu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lingjun Pu Line = papers co-authored together Lingjun Pu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration
Hit paper breakdown →
2016319
2 2017204
3 201882
4 201880
5 201673
6 202064
7 201838
8 201736
9 202031
10 202025
11 202220
12 201617
13 202116
14 202013
15 201812
16 202310
17 20189
18 20149
19 20197
20 20237

About Lingjun Pu

Lingjun Pu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Computer Science Applications, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Image and Video Quality Assessment (13 papers), Caching and Content Delivery (12 papers), Video Coding and Compression Technologies (8 papers), Cloud Computing and Resource Management (7 papers), Age of Information Optimization (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Computer Networks and Communications (849 citations), Computer Science Applications (199 citations), Transportation (69 citations), Information Systems (236 citations) and Computer Vision and Pattern Recognition (175 citations). Lingjun Pu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xu Chen, Jingdong Xu, Xiaoming Fu, Di Wu, Lin Xia Gao, Weigang Wu, Lei Jiao, Lin Wang, Shuai Yu and Song Yi Yang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal, IEEE Transactions on Mobile Computing, ACM Transactions on Multimedia Computing Communications and Applications and Computer Networks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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